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  What is Third-Wave AI?

 

The Defense Advanced Research Projects Agency (DARPA) has defined three waves of artificial intelligence:

  • First Wave AI focused on handcrafted knowledge, logic, and rules.
  • Second Wave AI brought probabilistic methods, statistical learning and big data.
  • Third-Wave AI aims to produce contextual adaptation and common sense capabilities.

DARPA proposes that Third-Wave AI systems can understand context, leverage that contextual understanding for common sense reasoning, and adapt to changing contexts. This will enable more natural and intuitive interactions between AI systems and human users.

Key factors are:

  • More natural language interactions
  • Improved reasoning skills
  • Better ability to operate in the open world
  • Contextual understanding - ability to incorporate and reason about real-world context
  • Common sense reasoning - making sensible inferences about unfamiliar situations
  • Adaptability - adjusting to new tasks, users, situations and environments
  • Intuitive interfaces - more natural language and multimodal interactions

 

We do research on the following key factors:

 

  • Better ability to operate in the open world
  • Contextual understanding - ability to incorporate and reason about real-world context
  • Common sense reasoning - making sensible inferences about unfamiliar situations
  • Adaptability - adjusting to new tasks, users and environments

 

We design basic Machine Learning  Agents which can be interconnected in a complex cognitive system. These algorithms can cooperate in a swarm intelligence context through communication channels that correspond to different information flows relating to different sensory and temporal dimensions. These agents are based on Machine Learning models that have the following characteristics:

 

  • Continuous Learning Capability (Plasticity + Stability)
  • Statistical Consistency Selective Availability
  • Supervised Learning via Inter-Stream Reinforcement
  • Adaptability through Unsupervised Learning
  • Multi Stream Long Term Memory (MS-LTM)
  • Multi Stream Short Term Memory (MS-STM)
  • Concept construction in multi-sensory and space-time context

 

The Swarm Intelligence is organized as a Learning Adaptive Evolving Fuzzy Cognitive Map (LAE-FCM)

 

 

 

 

LUCA MARCHESE

Aerospace_&_Defence_Machine_Learning_Company

VAT:_IT0267070992

NATO_CAGE_CODE:_AK845

Email:_luca.marchese@synaptics.org

 

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